Mneme came out of long-running AI coding sessions where important state kept getting lost due to context compaction. Instead of retrieval or embeddings, it tre

Mneme came out of long-running AI coding sessions where important state kept getting lost due to context compaction. Instead of retrieval or embeddings, it treats memory as an explicit, structured artifact and separates: – stable facts – task state – ephemeral context The goal is to make memory boring, inspectable, and durable across sessions. Happy to answer questions or hear why this is a bad idea